Dr. David Williams

Associate Professor

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Biography

Associate Professor David Williams is a highly qualified Australian neurologist with an international reputation for his clinical research work in Movement Disorders, Headache, and Muscle Nerve disorders. He serves as an Adjunct Associate Professor in the Neurosciences Faculty of Medicine at Monash University in Melbourne and is a visiting Neurologist at the Alfred Hospital. He completed his undergraduate medical training at Monash University, obtaining his medical degree in 1995, and was awarded the Harriet Power Scholarship in Medicine at the Alfred Hospital. After finishing his postgraduate training in Melbourne and the United Kingdom, he specialized in Neurology and completed his training at the National Hospital for Neurology and Neurosurgery in London, where he became a Fellow of the Royal Australasian College of Physicians. His research focuses on Parkinson's disease, progressive supranuclear palsy, and related disorders. He has published over 100 scientific papers in peer-reviewed medical journals, covering various topics in neurology. In addition to his research, he has played significant roles in educational committees and holds several prestigious awards for his impactful contributions to neuroscience research.

Research Interests

Experience

Associate Professor

2019-01-01 — Present

Monash University • Melbourne

Lead clinician at Van Cleef Roet Centre for Nervous Diseases and director of the Movement Disorders Research Program.

Requirements for Monash University

Master Program
Requirements
GPA Requirement
Required:3
IELTS
Listening
Required:6
Reading
Required:6
Writing
Required:6
Speaking
Required:6
Overall
Required:6.5
TOEFL
Listening
Required:12
Reading
Required:13
Writing
Required:21
Speaking
Required:18
Total
Required:79
Prerequisites
Bachelor degree (or equivalent) in a related field
Application Checklist
  • Academic Transcripts
  • Proof of English Proficiency
  • Curriculum Vitae
  • Copy of Passport
Specialization Notes

Requirements are standardized across the Faculty of Information Technology for most Master's programs including Computer Science and Data Science.